| 引用本文: | 孟安波,梅鹏,卢海明.基于纵横交叉算法的热电联产经济调度[J].电力系统保护与控制,2016,44(6):90-97.[点击复制] |
| MENG Anbo,MEI Peng,LU Haiming.Crisscross optimization algorithm for combined heat and power economic dispatch[J].Power System Protection and Control,2016,44(6):90-97[点击复制] |
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| 摘要: |
| 为解决热电联产经济调度优化问题，提出了一种基于纵横交叉算法(Crisscross optimization algorithm，CSO)的新求解方法。CSO采用一种双交叉搜索机制，其中横向交叉引入扩展因子增强全局搜索能力，纵向交叉引入维交叉概念，从而避免维局部最优问题。CSO的全局并行搜索，避免了陷入局部最优，有效提高了收敛速度。以一个包含纯发电机组、热电联产机组、纯发热机组的48机组系统为例，建立了热电联产经济调度问题的模型。仿真结果表明，CSO解决热电联产经济调度问题具有可行性和有效性，为实际调度系统提供了一个较好的方法。 |
| 关键词: 热电联产 经济调度 纵横交叉算法 维局部最优 并行搜索 |
| DOI：10.7667/PSPC150890 |
| 投稿时间：2015-05-28修订日期：2015-11-12 |
| 基金项目: |
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| Crisscross optimization algorithm for combined heat and power economic dispatch |
| MENG Anbo,MEI Peng,LU Haiming |
| (School of Automation, Guangdong University of Technology, Guangzhou 510006, China) |
| Abstract: |
| A method based on crisscross optimization algorithm (CSO) is introduced to solve combined heat and power economic dispatch (CHPED) problem. CSO adopts a double-crisscross search mechanism, introducing expand factor to increase global search ability in horizontal crisscross, introducing the concept of dimension-crisscross in vertical crisscross, to avoid falling into dimension local optima. The CSO implements global parallel search, which can effectively accelerate the convergence rate. The proposed method is illustrated for a 48-units system that contains power-only units, cogeneration units and heat-only units, with which the model of CHPED problem is established. The simulation results show that the proposed algorithm is feasible and effective in solving the CHPED problem, providing a better method for the actual scheduling system. |
| Key words: cogeneration economic load dispatch crisscross optimization algorithm dimension local optima parallel search |
